Search Results for "python neural network"
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Showing 21 open source projects for "python neural network"
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Grassroots DICOM
Cross-platform DICOM implementation
Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM... -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer, you... -
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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
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iCodeGenerator
a code generator for any programming language
iCodeGenerator is a database centric template based code generator for any text(ascii) programming language like C, PHP, C#, Visual Basic, Java, Perl, Python... Supported databases are SQL Server, MySQL and PostgreSQL. Source Code Now at: https://github.com/VientoDigital/codegenerator -
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yafra
Apache Cayenne, Wicket, CXF, GWT, EJB examples as a framework
Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on! -
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Chi's Project
The projects of ChiNvo Studio
The projects of ChiNvo Studio -
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A library written in C# for encoding and decoding animated Graphics Interchange Format (GIF) images. Based on NGif http://www.codeproject.com/KB/GDI-plus/NGif.aspx. Includes sample apps for encoding and decoding GIF files.
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
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libmsgque
something that writes code for you
The **libmsgque** project is an infrastructure that allows multiple package-items to be linked together to act as one application. To link, you need to distribute the work from one package-item to another package-item and wait for an answer or not. > Philosophy: Write Once → Run Everywhere The package-item can be a thread, a separate local process that is started by fork or spawn, or even a network of multiple services on multiple hosts. The package-item can be written in any... -
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NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.
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‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
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This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.
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This code is another way to create SOA applications through HTTP. Can execute Database SPs, MSMQ, Assemblies, IronPython script and generates RSS, JSON, Web Service, Text or Excel file through HTTP. The system has authentication and logging support.
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NxNet is an implementation of a BPN neural network written in C#. NxNet allows the user to configure the neural net, train and query the trained net. NxNet 2.0 introduces a batch query capability. Requires .Net Framework 2.0 be installed also.
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DANNU - Database Artificial Neural Network Utility. A C#/.NET utility implementing the "NeuroBox" library which allows the user to import data from a database and train a network with it. A fully featured NN utlitility is envisioned.
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Etch is a cross-platform, language- and transport-independent framework for building and consuming network services. With Etch, service development and consumption becomes no more difficult than library development and consumption.
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An extension of DNN that will allow object relational mapping of DNN objects. This is important for anyone interfacing with DNN in a object relational manor. Also for people using a Web Service Data Access layer.
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